Digital health company MedCognetics, Inc. announces that it has received U.S. FDA 510(k) clearance of its artificial intelligence-enabled software for breast cancer screening, QmTRIAGE.
RSIP Vision reveals preliminary results from a clinical study evaluating the reconstruction of a 3D knee model from 2D X-ray images.
Scientists at the University of Missouri are using artificial intelligence to conduct anatomical research and see inside an animal or person.
In a recent study, Yale researchers examined who these brain models tend to fail, why that happens, and what can be done about it.
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An AI algorithm is able to learn on its own across medical institutions and doesn’t require extensive findings or markings in the MRI images.
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With the increasing use of AI in radiology, it is critical to minimize bias within machine learning systems before implementation.
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The I3LUNG project is a research initiative to develop a decision-making tool for creating individually tailored lung cancer treatment plans.
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According to a new article appearing in the American Journal of Roentgenology, machine learning models applied to presently underutilized imaging features could help construct more reliable criteria for organ allocation and liver transplant eligibility.
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